Plotly Map with Adjustable Slider
Move the cursor from left or right to a desired year. Hover over a country to view average surface temperatures data for the corresponding year.
Technical Design
A Plotly map with an adjustable slider was created from our dataset to develop another level of interactivity for users. In addition, hover text was integrated into the map to display country name and average surface temperature in Celsius after the user chooses a year on the slider.The data displays years 1850-2013. The darker the red a country appears, the hotter it is on average. The darker the blue a country appears, the colder it is. And countries in between this range appears light with a lean towards either blue or red. The years are incremented by 4 years on the slider.
Plotly Map
✔ Pandas
✔ Plotly
The code pictured on the left was created to develop our interactive Plotly map. We introduced a start year of 1850 per the dataset and for consistency, so that all of the interactive plots begin at this year. Offline plotting was then introduced with the following function: "plotly.offline.init_notebook_mode()". This allows Plotly graphs to be generated offline and saved locally on a machine. An empty list was then created for "data" so that it can be placed onto the map template.
An empty list was also created for "steps" to introduce the slider for the map, a function integrated to develop the year scale for the slider. The layout displays scope and projection to enable viewing of the entire map of the world. Lastly, the figure for our data and layout was called with the iplot function to display the map you see to the left.